AI Summary & Key Takeaways
AI InsightIt can be effectivelyutilized in preoperative and perioperative measures to prevent anastomotic leakage.
📌 3 Key Takeaways
Abstract
Background/aim: One of the most feared complications after colon resection for carcinoma is anastomotic leakage. Prediction of anastomoticleakage can alter pre- and perioperative management of patients. This study validates an anastomotic leakage prediction system.Materials and methods: Ninety-five patients who underwent colonic resection between 1 January 2016 and 30 January 2017 were includedin the study. Patient records and electronic charting system data were used to calculate anastomotic leakage risk on the http://www.anastomoticleak.com/ website.Results: Fifty-six (58.9%) patients were male and thirty-nine (41.1%) were female. The mean age was 61.7 (min: 33, max: 90). Six (6.3%)patients had anastomotic leakage. According to the ROC analysis, the area under curve for the prediction system was 0.767.Conclusion: The prediction system for anastomotic leakage produced significant results for our patient population. It can be effectivelyutilized in preoperative and perioperative measures to prevent anastomotic leakage.